A situation we handle
Our AI project got cancelled — how do I still get value every day?
The pilot got cancelled — and you still open the tool every morning, because it genuinely helps. Both of those are true. The promise failed at the project level, not the tool level.
Unl, your why agent. The work behind “Our AI project got cancelled — how do I still get value every day?” depends on decisions your AI needs to inherit. You settle what matters and why; Unl brings the relevant decisions and why into the next session, across the AIs you use. Your agents can then act on your decisions, check the result and carry the outcome forward. They return to you when intent is unresolved, decisions conflict or the action needs your identity. Use Unl with your AI or see how Unl works.
Why this matters
The promise failed at the project level, not the tool level.
The pilot had a deck, a steering group and a sunset date. You have a daily habit that actually works. When the project got cancelled the tools didn't get worse — the gap was never the model.
The project-level promise — hand it the workflow, walk away — kept breaking on the same rock: the work left the team's decisions behind. Each run started from the conversation in front of it, not from what had been settled, so the output drifted and the humans burned out correcting it. What the pilot lacked was your decisions travelling with the work.
The way through
Keep the daily habit — it's the part that was always real. Add the layer that makes it finish: your settled decisions arriving in the agent's reasoning before it acts, so the work stays on what you chose. The daily value compounds instead of resetting.
With Unl you author the brief, hand it off, and the agent executes inside what you settled — full speed on the mechanical work, your decisions arriving in its reasoning before it acts on the parts that need them. And the agent verifies completion against what you decided.
Questions people ask
Was cancelling the pilot the wrong call?
Often it was the right call about the wrong layer. Project-level autonomy — hand over the workflow, walk away — breaks when the work doesn't carry the team's decisions. The tool-level value underneath it was real the whole time. Keep that, and add the decision layer the pilot never had.
What was actually missing from the pilot?
Your decisions travelling with the work. Each run reasoned from whatever was in front of it, not from what the team had settled — so output drifted, corrections piled up, and the business case died. Unl holds the settled decisions with their reasoning and hands the relevant one to the agent before it acts.
Which AI tools does this work with?
Unl is one connection over MCP, so it hands your settled decisions to Claude, Claude Code, ChatGPT and Cursor alike. The call you settle on one surface is inherited on the others.
What this is
Your agents don’t need to persist. Your purpose does.
Save the thoughts, decisions and targets worth keeping, each with its reasoning, carried into every AI session the moment they matter. A new unit of exchange between you and your AI: the Settled Why with standing that travels. Unprompted.
Your whole AI world. What you decided at the epicentre. It works inside Claude, Claude Code, ChatGPT and Cursor, and connects in a couple of steps.
MCP native·Human settled·Model agnostic·Your data
Measured Context
Connect Unl to bring the right information into the moment.
Your sources, read against the criteria you set.
The full product, open. Free to start. Paid plans from $10 a month.